Stochastic Maximum Likelihood (SML) parametric estimation of overlapped Doppler echoes - Archive ouverte HAL Access content directly
Journal Articles Annales Geophysicae Year : 2004

Stochastic Maximum Likelihood (SML) parametric estimation of overlapped Doppler echoes

Abstract

This paper investigates the area of overlapped echo data processing. In such cases, classical methods, such as Fourier-like techniques or pulse pair methods, fail to estimate the first three spectral moments of the echoes because of their lack of resolution. A promising method, based on a modelization of the covariance matrix of the time series and on a Stochastic Maximum Likelihood (SML) estimation of the parameters of interest, has been recently introduced in literature. This method has been tested on simulations and on few spectra from actual data but no exhaustive investigation of the SML algorithm has been conducted on actual data: this paper fills this gap. The radar data came from the thunderstorm campaign that took place at the National Astronomy and Ionospheric Center (NAIC) in Arecibo, Puerto Rico, in 1998.
Fichier principal
Vignette du fichier
angeo-22-3983-2004.pdf (713.26 Ko) Télécharger le fichier
Origin : Explicit agreement for this submission
Loading...

Dates and versions

hal-00329407 , version 1 (18-06-2008)

Identifiers

  • HAL Id : hal-00329407 , version 1

Cite

Eric Boyer, Monique Petitdidier, Pascal Larzabal. Stochastic Maximum Likelihood (SML) parametric estimation of overlapped Doppler echoes. Annales Geophysicae, 2004, 22 (11), pp.3983-3993. ⟨hal-00329407⟩
431 View
199 Download

Share

Gmail Facebook X LinkedIn More